Wonder

Wonder is an enhancement designed for professionals who want a simple, reliable way to improve small or medium sized low-resolution images that have compression artifacts, without stacking multiple tools. Traditional workflows can over-process or introduce artifacts when several enhancements are combined. Wonder is an automatic image repair tool that delivers high-quality, artifact-free results on medium and low-quality images. It produces clean outputs, especially on fine details that other models may struggle with.

Important: This model is for small or medium low-resolution images that are soft, noisy, or compressed, where you want clean, realistic detail without artifacts.

It is not for images shot on modern cameras, or RAW files. Using the model outside of its intended use will lead to issues, inconsistent behavior, or poor results, and editing images that fall outside its intended use is not supported. For RAW images or images from modern cameras, you can use other enhancements meant for these files such as RAW Denoise, Denoise, Sharpen, Recover Faces, and Upscale.

The maximum output for this Wonder generative model is 128MP (megapixels). If you have issues rendering your image, try a smaller starting file or contact Support. Make sure to include the file so we can confirm which model is best suited.

How to access the model

You can access Wonder from the "Select a Filter" button.

Note: if Auto-Pilot is on, this "Select a Filter" button will be named "Choose something else"

Results examples on this heavily compressed file:

Wonder Versions

Wonder (v1): Best for heavily compressed or very low-quality images that need strong cleanup. Produces more aggressive, stylized results and can over-process in some cases.
Wonder (v2): Best for low-resolution or challenging images where realism is the priority. Produces cleaner, more natural results than v1, but can be more conservative on very low-detail images.
Wonder (v3): Released in Topaz Photo v1.5.0 - Best for recovering detail across a wider range of low to mid-quality images. Improves on v2 with stronger recovery, more realistic textures, and better handling of false resolution with minimal user input.

Key things to know

Wonder works best with Cloud Processing: Because of the computational resources required to run this model, Wonder will give best processing speeds on the Cloud.
Wonder is a Single-step model with no preview controls
Best results when upscaling 4x on the Cloud.
Not recommended for low-light phone images with heavy noise
Wonder cannot be used as a Preset, but it can be used in Batch Processing workflows. See details here.

Important: The Wonder models are for small or medium low-resolution files that need strong cleanup and enhancement and that have compression artifacts to fix. It is not to be used for high-resolution images, or for images shot on modern cameras, and is not for images that are already sharp.

Local Rendering

Wonder v1
Local rendering is available if you:

Have a Topaz Pro license or Founder status
Use a machine that meets the minimum system requirements

When these conditions are met, Wonder v1 can run locally on your machine.

Wonder v2 and v3
Local Wonder v2 and v3 require:

Windows: NVIDIA or AMD Graphic card with 8GB VRAM or more
Mac: Apple Silicon (M-series) machines with 16GB RAM minimum

Not supported on:

Intel Macs
Windows ARM / Snapdragon systems

Cloud Rendering

You can run Wonder (all versions) using Cloud Processing.

Provides faster processing

Contact Support

If you have issues using the model, contact us at Support and we can troubleshoot. When you write in, make sure to provide:

The image you are trying to upscale. Make sure it's a small or medium low-resolution or compressed file, which will be a case for the Wonder model.
Details on the issue: Are you using Local or Cloud processing? Which version? Attach the file used to the email and send Details on the behavior and screenshots of the error you get, if any.
Your app's logs: Help menu > Open Logs folder > Attach all the logs you see in the email to Support.

Upscale & Resize

Generative Models